mock-generate

This skill generates mock data from TypeScript types and JSON schemas by automating the creation of type-safe mock functions and test fixtures. It reads your schema definitions to produce realistic data structures matching your exact types.

The best way to create test fixtures for Prisma and GraphQL schemas is to use factory functions generated directly from the schema definitions. This approach ensures your fixtures remain type-safe and automatically align with your database and API structures.

Yes, you can generate database seeding scripts from OpenAPI definitions. It provides automated scripts that populate databases with mock data derived directly from your API schema structures.

Yes, mock data generation works without external dependencies. The skill operates independently to generate data from TypeScript, JSON Schema, Prisma, OpenAPI, and GraphQL inputs without requiring external packages or libraries.

Token usage is optimized through caching, grep-based discovery, and template-based generation. These mechanisms minimize redundant processing by reusing existing mock structures and only generating the necessary data increments.

The main limitation of schema-based mock data generation is that output realism depends entirely on the provided schema definitions. While it automates structurally accurate data, complex business logic constraints may require manual fixture adjustments.